EP 631: AI’s App Store Moment? Are ChatGPT’s Apps The Next Big Thing or Smoke and Mirrors?

ChatGPT Apps: The Practical Impact and Future for Digital Business Operations

The recent unveiling of ChatGPT’s native apps has sparked discussion across technology and business circles about whether this marks a significant shift in how digital work gets done—or just another passing experiment. The latest episode of Everyday AI provides a hands-on evaluation that strips away marketing narratives and delivers precise insight on what business leaders can expect from this development.

From Plugins to Apps: Tracking OpenAI’s Third Attempt

OpenAI’s ChatGPT apps represent a third structured approach to embedding third-party capabilities within its ecosystem. The earlier plugins and GPTs offered promise but delivered inconsistent results: plugins saw limited user uptake due to complexity, while GPTs overwhelmed the store with low-quality submissions because the bar for entry was so low.

Now, ChatGPT apps debut with a curated launch set—Spotify, Zillow, Canva, Figma, Expedia, Booking.com, and Coursera—positioning the platform as a potential universal operating system for digital tasks. Each app provides a graphical user interface (GUI) directly within the ChatGPT chat, effectively reducing friction for practical workflows like deck creation, property searches, research, and course navigation.


Specific Value: Native Workflows and Context-Aware Experiences

The transcript reveals that internal OpenAI testing found a 70% increase in productivity when performing tasks inside ChatGPT versus switching between standalone services—a concrete benefit for business operations. For example, creating and iterating on a Canva presentation happens in real-time using natural language, without copy/paste or jumping between tabs. The context-aware functionality, facilitated by the underlying Model Context Protocol (MCP) from Anthropic, enables deeper personalization. A real estate example using the Zillow app shows how ongoing ChatGPT conversations—like moving to Pittsburgh with a dog—surfaced relevant listings near dog parks automatically.

For online learning, pausing a Coursera video and asking the app to explain a concept leverages the chat’s existing context, saving users from manual explanation or disruption. These features, available now for free and paid personal ChatGPT plans, showcase immediate efficiency gains when integrating business-relevant tools.


Technical and Operational Details Business Leaders Should Note

Currently, each app needs to be individually authorized, and only personal ChatGPT accounts can access them. Regions including the EU, Switzerland, and the UK do not yet have support, and enterprise, business, or education plan rollouts are pending, along with developer-submitted app options. OpenAI’s future plans include paid apps, service fees, and explicit developer monetization, but lack public details about the submission and approval process.

The Apps SDK drives this initiative, with over 50,000 developers already registered within weeks, signaling strong interest for both customer-facing and internal business applications. Integration of proprietary databases, comprehensive websites, or niche enterprise software becomes feasible—opening the door for, say, a CRM system to work natively inside ChatGPT, streamlining communication and task management via natural language.


Performance Evidence and Adoption Challenges

App performance stats from pre-launch testing highlight tangible improvements:

  • Canva enabled designs 400% faster.

  • Zillow handled 2 million daily queries with a 500% conversion improvement.

  • Coursera experienced a 60% higher course completion rate compared to traditional workflows.

Despite these promising early results, widespread adoption isn’t assured in the short term. The episode points out that the rollout felt rushed—with only seven apps available initially, limited clear guidance for developers, and some apps offering only partial web functionality (e.g., Booking.com mainly opens external tabs). App discovery infrastructure and monetization are still in development, raising concerns about developer incentives and sustained engagement, referencing OpenAI’s previous stumbles in rewarding GPT creators.


Long-Term Implications for Competitive Positioning

With OpenAI reporting 800 million weekly active users, any business software not present in ChatGPT apps risks falling behind in user reach. Established SaaS brands are likely to feel pressure as AI-native competitors integrate sooner, much as companies are expected to have iOS apps to maintain relevance in the mobile sector.

For organizations considering integration, potential exists for bespoke internal tools tailored for natural language workflows, especially in technical or data-rich verticals. The future may hold categories for enterprise-specific apps, expanding business possibilities for IT and operations teams.


Strategic Recommendations and Signals

The pace of platform growth, developer engagement, and unique productivity benefits suggest that ChatGPT’s app ecosystem could become the default digital workplace for millions. However, OpenAI’s ability to expedite a vibrant developer economy—paying out to innovative app creators and cementing a concrete monetization path—will be crucial.

Business decision-makers and technology strategists should monitor not just the current crop of apps, but the evolving process for third-party submissions, monetization, and enterprise rollout. Early experimentation or even preparing proprietary offerings for integration may secure a competitive edge ahead of wider adoption, but attention to OpenAI’s support, guidelines, and payment structures is advised to avoid the pitfalls of earlier plugins and GPTs iterations.


Conclusion

ChatGPT apps signal a meaningful step toward streamlined, context-driven digital workflows, particularly for sectors that rely on software interoperability and efficient information handling. While immediate utility may be limited and some technical rough edges remain, the platform’s scale and ambitions suggest structural changes to how business software will be bought, used, and distributed in the near future. OpenAI’s decisions on developer incentives and rollout execution will determine whether this is a passing trend or a foundational shift in enterprise technology.


Topics Covered in This Episode:

  1. ChatGPT Apps Launch: App Store Moment
  2. OpenAI's Integrated Services: Spotify, Canva, Zillow
  3. ChatGPT Apps vs. Plugins vs. GPTs
  4. Graphical User Interface in ChatGPT Apps
  5. Productivity Benefits of ChatGPT App Integrations
  6. Developer Opportunities: Apps SDK & Monetization
  7. Enterprise Adoption Potential for ChatGPT Apps
  8. Initial Seven Apps & Usage Statistics
  9. Challenges: Responsiveness, Functionality, User Experience
  10. OpenAI's Third-Party App Submission Guidelines
  11. Medium-Term Outlook: Short-Term Flop, Long-Term Success
  12. Critical Role of Developer Incentives & Monetization


Keywords:

ChatGPT apps, AI app store, OpenAI, App Store moment, ChatGPT plugins, GPTs, ChatGPT connectors, ChatGPT SDK, Anthropic model context protocol, AI operating system, integrated services, drag and drop agents, third-party app ecosystem, developer submission process, app monetization, enterprise security, interactive user interface, GUI in ChatGPT, personalized business workflows, digital tasks automation, context engineering, hands-on demos, API updates, productivity increase, app discovery, developer guidelines, app approval process, paid apps, free apps, service fees, launch day apps, Canva integration, Zillow integration, Spotify integration, Figma app, Coursera app, Expedia app, booking.com app, DoorDash, Instacart, Uber, OpenTable, TheFork, Target, Peloton, AllTrails, TripAdvisor, business use cases, enterprise integration, app categories, CRM integration, proprietary software apps, natural language interface, real-time AI models, agent kit, startup killer, web experiences in ChatGPT, multimodal features, innovation in productivity tools, OpenAI business strategy, AI-powered ecosystem


Podcast Transcript


Jordan Wilson [00:00:15]:
Do you remember using a smartphone without apps? So I don't know if you remember this, but there was a period for more than a year after the original iPhone launched where there weren't even apps. So imagine today using an iPhone without apps and maybe how useless that phone would feel. Maybe in one year or two years or five, we might feel the same way about ChatGPT and say, Hey, do you remember when ChatGPT didn't have apps and how little work we were actually able to accomplish? Well, we'll see if that's the case or if this is just another kind of failed experiment from OpenAI. Plugins didn't quite take off. GPTs weren't the next big thing. So what about now that OpenAI has recently unveiled their apps? Is this the true App Store moment, or is this just some smoke and mirrors and the latest marketing toy from OpenAI? Well, we're gonna be digging in to that on today's hot take Tuesday edition of Everyday AI. What's going on y'all? Welcome to Everyday AI. My name is Jordan Wilson.

Jordan Wilson [00:01:26]:
I'm the host, and this is your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me make sense of all these whirlwind of AI updates and how we can leverage all this information to grow our companies and our careers. So if you're constantly looking at Chat GPT and saying, like, what can I do? Well, it's episodes like this that are gonna help you do that. So it starts here with the livestream podcast. But if you really wanna take it to the next level, you gotta go to our website at youreverydayai.com. That's youreverydayai.com. There each and every day. Well, first, go sign up for the free daily newsletter. But each and every day, we recap the highlights of the newsletter as well as bring you the no nonsense take on all of the latest AI news.

Jordan Wilson [00:02:07]:
But let's get straight into today's episode. OpenAI at their dev day, about a week ago, unveiled a lot of things. And, actually, I think it was apps that maybe got, the least love or the least attention. They, unveiled drag and drop agents. They, unveiled and released, new updates in their API. So millions of developers could start adding new functionality, but then they released apps. And eventually, the apps SDK that will allow millions of developers to bring native experiences inside of chat g b t. So if you wanna know a little bit more, we're actually gonna be going hands on.

Jordan Wilson [00:02:52]:
So if you are new here, Mondays, we do AI news that matters. Tuesday, hot take. I'm gonna give you my hot take on this here in a couple of minutes. And then Wednesdays, we do more of a, at work on Wednesdays, putting AI to work. So tomorrow, we're gonna be, doing some hands on demos. But today, we're gonna be talking about how chat g p t apps work and kinda what they are. We're gonna cover the marketing behind it, but also cut through the hype. I'm gonna dish my final hot take on if this is an actual big, future move or if it's just another feature bound to die eventually, RIP Chat GPT plugins.

Jordan Wilson [00:03:27]:
And last but not least, I'm gonna give you my hot take and explanation on why I ultimately think Chat GPT apps will be a short term flop, but an absolute long term home run if OpenAI does this one thing that they've failed to do. Alright. And if you did miss all of the, OpenAI dev day announcements, make sure you go listen to episode six twenty six. We cover that all in-depth, but ChatGPT apps are here. If you have a free a free plan, a paid plan, they're they're there. You may not have even noticed, but don't worry. I'm gonna show you everything, how to enable them, how they work, and really the fundamental shift that this could represent. Emphasis on could, you know, depends on how these are ultimately rolled out, how they're adopted, and also the the information and education that ChechiPT continues to, pour into this.

Jordan Wilson [00:04:25]:
So here's the bullet points. If you missed it, if you've, took a nice, vacation on a yacht in Greece and maybe, missed the last week or so. Here's what you need to know. So OpenAI launched, Chat GPT apps, with integrated services out of the gate like Spotify, Zillow, Canva, Figma, and others. Their strategy essentially is, to transform ChatGPT into a universal operating system for completing digital tasks. So again, in the same way, like, you can run a lot of your day to day business operations on your phone, unless you have fat fingers like me and can't type. Right? But that's kind of the hope and the long term goal, with OpenAI is, one of their, initiatives bringing full working, essentially web experiences inside of Chatt GPT without ever having to leave. It's built on an open protocol, the, model context protocol from Anthropic for interactive user interfaces and enterprise security, developers.

Jordan Wilson [00:05:25]:
Huge opportunity out there. 800,000,000 weekly active users that's reported by OpenAI. Also, Goldman Sachs separately projected that this is a 15 to $25,000,000,000 market. Also, there's a lot of two sides of this when it first came out. Right? A lot of media coverage and people on social media talking about how this, is now AI's app store moment, let alone OpenAI's kind of app store moment. And others are well, no, this is just a startup killer, or this is, another piece of, marketing from OpenAI that may ultimately flop or may not take off just like plugins and GPTs. So how how can you get your hands on it? Who can use it? So right now, whether you're on a free plan, paid plan, doesn't matter, but any individual plan will have access to apps. So, it's gonna be a little different how you access them depending on what type of plan you're on, but you should have a little plus icon, and then a an option once you do click that plus icon, to go to, add sources.

Jordan Wilson [00:06:38]:
Okay. And then from there, you'll go click connect more, and then you'll scroll to the bottom, in your settings and you should see, something that says browse apps, or you can just go directly into your settings, in your chat GBT account. Again, for personal accounts only right now, look on the left hand side, apps and connectors, and then browse down to apps. Alright? So you do need to, one time individually install and, at times authorize these if you are connected to, one of the seven apps that launched on launch day, that requires you to have an account. Also, in the future, there's gonna be paid apps, free apps, service fees, right, just like in the full, you know, Apple iOS App Store. But right now, all the apps from launch are free, but you do have to have an account, like, as an example, Canva. And, if you are in the, European, Union, Switzerland, UK, etcetera, support is not out yet. Also, if you're on a business plan, enterprise plan, education, the rollout has not fully happened yet.

Jordan Wilson [00:07:45]:
That will be for later this year alongside once OpenAI does unveil the developer submission process. Yeah. Right now, there's no, mum is the word on monetization. We still don't even fully have the process, for developers, to submit an app for approval. But we should be getting word on that soon. So let's talk about a couple of examples in how these work now. So one of the biggest differences, in one of the newest pieces of utility that come along with apps, And I'm gonna go over later kind of the difference between apps and connectors and GPTs, but I wanna focus a little bit on apps. So the biggest thing is it, essentially brings in a graphical user interface or GUI, of these seven websites.

Jordan Wilson [00:08:36]:
And you might say, okay. Well, why? Why wouldn't I just go to Spotify? Or why wouldn't I just go to Canva? We're gonna talk about some of the stats and some of the results. But I think internally, OpenAI saw a 70% increase in productivity doing things within ChatGPT versus, you know, doing things separately on these other apps. And when you think about it, it actually makes a ton of sense. And a lot of this goes to context. Right? There's been all this buzz recently about the, terminology context engineering. Right? Which, not trying to brag. I've technically been teaching context engineering before anyone was talking about it, but that's another story for another day.

Jordan Wilson [00:09:17]:
Right? But, essentially, what this means is this allows all of the apps within ChatGPT to understand and work with your context within the chat window that you're using. Right? So you don't have to redescribe anything. So, think let's say Canvox. It's a great example and probably one of the use cases that I'll tackle, on tomorrow's AI at Work, Wednesday show. But let's just say that you're using ChatGPT to pre apps. You're using chat GBT to build a Canva outline. Right? Ultimately, what you still have to do is you have to go copy and paste all that into Canva. You have to find a template that works, right? You have to resize all the fonts, bring in your colors, all those things.

Jordan Wilson [00:09:59]:
Right? Now well, you could just if you're doing a deep research, if you're, you know, bringing in information from connectors, you know, bringing in your own data, working in your context of a chat, you can just then call on the Canva app and just be like, hey, buddy. Turn this into a 10 page deck for me. And within a minute or two, it's there. You don't have to copy and paste. You don't have to switch between apps. So that's ultimately what ChatGPT or OpenAI is trying to do. They're actually trying to make this an AI operating system and bring all of your day to day business processes inside of these apps. Pretty big deal.

Jordan Wilson [00:10:38]:
Right? And we're gonna talk later about, you know, some of these new features that OpenAI, has been rolling out that just happened to make a lot more sense now, right? Like a checkout page, inside OpenAI, but a couple, or sorry, inside of Chat GPT. Couple use case examples, though. So let's say and some of these are based off of, OpenAI's demo and some aren't. So, you know, let's say you're that inside Chat GPT, you've been discussing moving to Pittsburgh. Right? And then something about a dog walk, and then Chat GPT remembers the context, and then it'll surface, results if you're using the Zillow app, and you could say and it might suggest something next to a dog park. Right? The example that I just kinda gave, if you're working within chat GBT, maybe you're working in canvas mode and you're iterating in body. By the way, canvas mode, if you haven't used it, so good. Right? But maybe you're using canvas mode in iterating with chat g b t to get kind of that outline just right.

Jordan Wilson [00:11:33]:
Well, now you can just you don't have to do anything. No copy paste. You just call on the Canva app. So you can use the at symbol, bring up Canva app once you have it installed and just say, turn this into a deck. Right? And then you can iterate on it conversationally with natural language. That's another huge thing. Another example, one that I tested out and I really like, you can with the Coursera app. Also, by the way, I know a lot of people are asking like, hey, Jordan, like, your Coursera course, it's so old.

Jordan Wilson [00:12:03]:
Don't take it. It's like three years old. But if if you're watching a Coursera course that's not three years old and outdated, It's great because you can actually pause and just say, explain this concept to me. And it just knows, it knows what you're watching. It understands the context of the video. The other thing that I've been testing out, which is really cool, calling on the Coursera app after you've already been having a conversation, inside Chat GPT. So it has this kind of preloaded context before you even start watching a video. So then you don't, if you're in the middle of it, you don't have to pause and type out a big paragraph or dictate a big paragraph because it has the context of whatever you're working on.

Jordan Wilson [00:12:42]:
That's great. Just saying explain this concept deeper without ever having to leave the player. So why? What's the point? Well, this is OpenAI's technically third attempt at creating, essentially an ecosystem, that allows you to connect to third parties. The first one, Chad GPT plugins. They came and they went. By the way, I love plugins. We we talked something called plugin packs. I literally don't think anyone at OpenAI ever realized what they had because you could use three plugins at a time.

Jordan Wilson [00:13:16]:
This was technically the first agentic features of Chat GPT. Before that, it had a reasoning model because you could share the context between three plugins at once, and it would pass the context on. Anyways, plugins came and went. Right? And then, in, I believe, November 2023, OpenAI made a big splash with the GPT store. And at the time, a lot of the headlines were saying the same thing. Is this the App Store moment? Right. And OpenAI made a lot of lofty promises, but what happened? Well, OpenAI pretty much ignored, GPTs. It went, jeez, a year and a half without any major updates.

Jordan Wilson [00:13:58]:
Right? Finally, it was about a half year ago that they finally allowed GPTs to use, you know, newer models because previously, you know, you could only use the much older GPT four o. And finally, before GPT five came out, they said, okay, you can use the o three, models. So this is technically their third iteration. And I mean, we'll see what ultimately happens with GPTs, cause they have the GPT store. And the good thing is, well, the good thing about GPTs is also the bad thing, is it's so easy to make a GPT. You can make a GPT in literally about twenty seconds, and it can be okay. But the problem is the GPT store got flooded with garbage because, I'm not a mathematician, but 99.99999% of everything in the GPT store is hot garbage. Very little utility because the bar for entry is so little.

Jordan Wilson [00:14:50]:
Conversely, plugins, most plugins were of decent quality because it was difficult to get a plugin approved. And you had to have a little bit of technical, some technical chops. So we'll see ultimately where apps lands and what the future is for GVTs. But the goal is for OpenAI to move beyond and to use apps to move beyond, just Chad TpT being, an AI chatbot, and they're trying to become the operating system in the AI era. So some of the apps available today and, reported some of these stats so far based on those app usage from, pre launch testing. So Canva, reportedly delivers a 400% faster design creation. Zillow processes 2,000,000 queries daily, with 500% conversion improvement using the chat GBT app. Coursera serves 300 right now, not in the app, but Coursera serves 300,000 students weekly with a 60% higher course completion rate than traditional methods.

Jordan Wilson [00:15:54]:
Also Spotify, Figma, Expedia, booking.com, completes kind of the launch of the initial seven apps. There's also 11 more on the way. We don't have an exact, launch date for the rest of these apps, but we do know that DoorDash, Instacart, Uber, OpenTable, TheFork, Target, and Peloton are on their way as is AllTrails and TripAdvisor. Side note, I'm tired of like all these AI companies when they're demoing something like, you know, oh, watch this agent, you know, buy your tickets for the concert or book your travel. Y'all, can we just start doing business use cases when we launch these products? Anyways, we don't know yet how or when third party developers will be able, to submit, their apps, but OpenAI did release, first, first set of guidelines, essentially what developers have to do in order to, submit those, but we don't know how or when they will be approved. We did just hear that they'll be releasing that later this year. So right now, here's how they work. Right? If you wanna know what's going on under the hood, well, they're built on the MCP, standard, which enables developers to define both logic and the interface.

Jordan Wilson [00:17:17]:
The first use, like I talked about, the first time you use one of these apps, you do have to connect and consent to it first. Right? Go over the privacy policy, all that good stuff, sign away your first born. Not actually. That's just a joke. And also the big difference, apps render an interactive user interface in the chat. So it does feel kind of like you're using, I mean, different apps I've used, I think five of them so far. Different apps have a different level, of like reflecting the web interface. Right? I think Zillow pretty good.

Jordan Wilson [00:17:52]:
Spotify, it's just more of like a, you know, a very slimmed down version of what you might get in Spotify. So if you're like me, you're probably thinking, wait, didn't OpenAI just release these connectors a couple of months ago? And what about GPDs? What's the difference? Because even Canva is a great example. Canva has a connector. Canva has a GPT and Canva has an app. Well, by this time, Canva's GPT is pretty much useless now, although previously it was kind of valuable. So Canva's GPT previously, you could give it some information, and it would kind of create a design for you, but not in the interface. You had to click to see it, and it would open up a new window. It sometimes worked, but mainly didn't.

Jordan Wilson [00:18:44]:
Right? So Canvas GPT specifically, great in theory, but that's not really what GPTs are for. So let me just kinda go over some of the differences. Well, actually, no, let me finish this Canva piece. So Canva's app, great. I think it's one of the best, shiniest use cases of the seven that they announced that are available. And then Canva's connector, conversely, something I use all the time. I love doing deep research across my Canva. I know that's weird, but I've done six thirty podcasts and each and every one of them has a little Canva deck that I show on the live stream, just with some notes and some bullet points.

Jordan Wilson [00:19:21]:
Right? So I use the connector. I can ask deep questions across, so 600. Some of them are 20 pages. So, yeah, thousand plus pages of Canva docs. So the connector, can just grab in all this information, and it's and it's almost like a database. And then the app, obviously, you can make and iterate and see and view designs, in the app. And we'll go over that one tomorrow. I think that'll be one of our three use cases.

Jordan Wilson [00:19:49]:
So essentially, the apps, embed a rich interactive user, interface that you can, interface with directly in the chat. So you can interact with actual, website graphical interfaces, and work with your context. Some, I mean, we'll see, but, like, I don't know, like the booking ones, you know, the booking.com one, it's like, doesn't really do too much for me. You know, it shows you examples and then you click, oh, but like this hotel in Chicago looks great. And then it clicks and it just opens up a new tab. So some have great front to end user experiences, some not so much, but they all do have an option to essentially hand off or continue, in the actual, website. So, connectors, like I said, these just securely bring in your personal data into conversations for personalized answers. So connectors are kind of like a mini miniature version of, retrieval, augmented generation, and then custom GPTs.

Jordan Wilson [00:20:51]:
These are just kind of personalized versions of chat GPT that you can modify with text. Right? So that's kind of the difference. But let's talk about the potential. Alright. Because with the apps, we'll talk to our developers here for a second. OpenAI did also release an apps SDK. So they did release the platform for developers to build on top of. And right now they did say that over 50,000 developers, already registered within the first few weeks.

Jordan Wilson [00:21:22]:
So later this year, submissions should be open, right? So, if you are a larger organization, here's what you should probably be thinking of. You might want to essentially build an app maybe of your, internal database, maybe of your website. If you have a, a comprehensive website, let's say that you're, an ecommerce, brand. Let's say that you're a brand that puts out a lot of, a company that puts out a lot of information online. You might wanna convert this into an app, to bring, both for your customers and maybe for your own internal employees. I mean, we'll see some of the use cases, but, submissions, we should know more later in this year about how that works as well as, how they will be, displayed within chat g p t for app discovery. It does seem it's gonna be similar to the g p t store where there will be categories. I mean, we'll see if, organizations, once this does roll out to, the business, tier previously called teams, the enterprise tier, all that, if there will be apps specifically for just enterprises.

Jordan Wilson [00:22:30]:
So, I would think they will since they have that for GBTs. And I can see a lot of big use cases for that, especially for organizations, that have technical departments. But there's especially, especially for companies that use some sort of, proprietary piece of software that's, specific for a, their, their niche or vertical. I mean, to be able to work with that context inside Chatubit with natural language is huge. This could be the future. Right? This could be the future. Right? Think of a CRM. Right.

Jordan Wilson [00:23:03]:
And some CRMs are super clunky. I remember the early days, like using Pipedrive, like, very early. I would have to, like, read all these long help docs just to figure out, like, how to make, you know, an update to an opportunity or something. But imagine sometimes even when you're working with today's apps, all the duct tapes, all the duct tape that you have to put together to make something work the way you want it. You know, customizations, a lot of companies pay extra or have developers build on top of their current software. Well, imagine if it just worked with your natural language inside ChatJiffyte, those pieces of software that you use. I do assume probably any huge enterprise piece of software, your email marketing tools, your CRMs, they're going to have to go inside Chat2PD apps. I don't think they're going to have a choice because what's going to happen.

Jordan Wilson [00:23:59]:
I think some of the more AI native organizations are going to do that. Right? So, let me take as an example, if you sign up for our email, newsletter, we use Beehive. Right? Great. Previously we used MailChimp. I would assume a company like Beehive would probably be, early to adopt something like this and they're growing and they're making everyone else, in the industry sweat. I would assume even the legacy players are eventually going to have to bring their apps in. It's the same thing with the, like the iOS app store. There's no big enterprise piece of software out there that doesn't have an iOS app.

Jordan Wilson [00:24:46]:
Right? You, you, you can't not. So I do think eventually if OpenAI does this the right way, and I'll give my 2¢ hot take on this at the end, everything's gonna have to move in there. And I do think ultimately we're gonna see, Anthropic, Google and Microsoft follow suit. So here's been some of the good vibes so far. Right. VentureBeat, you know, just kind of going over some of the media coverage. VentureBeat called this the new app store, with a vibrant interactive platform. Forbes, said that this is the this actually makes ChatGPT the next big browser as a primary interface to the Internet.

Jordan Wilson [00:25:28]:
TechCrunch praised the integrations, feeling native to the medium with 800,000,000 users, obviously, inside ChatGPT. Some of the downside. So artificial ignorance argued that agent kit, so something else that they, launched on, dev day is probably a startup killer. And that one's interesting because OpenAI releasing a lot of things that are viewed as startup killers, even though a lot of their, developers and some of their big account holders are developers. Anyways, Bloomberg describes some of the early apps as underwhelming and sometimes frustrating. And I agree with that, some problems with responsiveness and functionality issues. Yeah. It's buggy.

Jordan Wilson [00:26:15]:
Some some of the apps work well, some not so much. And then Wired, in their article did remind readers that OpenAI previously attempted this with GPTs, and that did not achieve widespread success two years ago. So here's my final hot take. You're not going to hear hardly anything about apps until you do. This is one of those, instances with OpenAI. Maybe it's because they wanted to unveil this, during dev day. Right? I think just releasing what they released in the API, they released GPT five Pro access, Sora two, a new real time model. And then they released agent kit, drag and drop agents.

Jordan Wilson [00:27:09]:
Right? So I don't know why rush it seems rushed. Why rush chat gpt apps with only seven apps now and 11 apps later and developers not even necessarily knowing how to submit their apps or when. Right? It's almost like you only get one shot at the grand opening. So I don't know. Maybe there's, I'm sure there's a rationale, behind this. I'm sure they used, I don't know, GBT 7 to plan out their go to market. So I don't necessarily understand this go to market strategy, because I think, you know, yeah, there's all this initial coverage and people are talking about it, and then people are just gonna forget about it. Because I don't know.

Jordan Wilson [00:27:51]:
Unless you're a designer or, you know, enjoy taking a couple extra steps when, you know, trying to book something, you know, book a hotel on booking.com or whatever. Most people aren't gonna use this. So I do think in the short term, it's gonna be a massive flop. Right. Cause no one's going to care. That's the reality. Long run. It, I think is going to be a massive hit.

Jordan Wilson [00:28:20]:
If one thing happens. And here's why. Like I was describing, if this catches on, you can't not release a chat GBT app. Right? MailChimp gonna have to, right? Big CRMs. They're going to have to. Essentially, if you want to compete in the new business landscape, which is AI operating systems, and I've been super bullish on this before anyone was saying the words I've been saying it. People are gonna have to bring their services to where the demand is. And OpenAI owns demand.

Jordan Wilson [00:29:02]:
800, according to OpenAI, 800,000,000 weekly users. So that obliterates anyone's, any company's, traditional app distribution. No one else I've, I won't say no one else out there unless you're Google or something, right? Or maybe Salesforce. But no one has 800,000,000 users. Okay. This is, I think the potentially the distribution platform of the future. If they get this one thing right. OpenAI with the app store.

Jordan Wilson [00:29:45]:
They need to be minting millionaires as soon as possible. And here's why. They fumbled the GPT store. GPTs are insanely useful and they still are to this day. Right? To almost two years later, OpenAI largely ignored GPTs. Right? And kind of continues to ignore GPTs. And I think the power is immense, and I really hope they don't get rid of them because GPTs, like I said, for small teams that can't go out and build on the, you know, apps SDK, GPTs, I think, have become, essential almost for a lot of companies day to day business business operations. Right? So I hope OpenAI continues to support and maybe, promote and improve GPTs.

Jordan Wilson [00:30:39]:
But one thing they did not do that they kind of promised, they talked about monetization of GPTs. Right? They're like, hey, developers, go build your GPTs and put them on the GPT store. You know, and, you know, for our most used GPTs, we're, you know, we're gonna share the share the wealth. Right. Do you know how many stories I heard of people getting money from that? Zero. Zero. Okay. If you look at the iOS app store in 2024, 5,000 apps earned more than a million dollars 5,000.

Jordan Wilson [00:31:16]:
Okay. I'm not saying OpenAI needs to make 5,000, in 2026, but they need to be handing out money to developers. All right. Because if you want to incentivize, everyone to get on board, you need to put your money where your mouth is. And OpenAI, in my opinion, maybe, I don't know, maybe they paid a couple developers for the GPTs that they put out on the GPT store. But I remember seeing stories and we shared about it in our newsletter of some of the most prominent, developers that had, you know, GPTs that were, you know, top on the GPT store were like, I haven't seen a penny. So OpenAI, you have to pay people and you have to make them insanely rich. Talk about a great PR strategy, because let's be honest, you fumbled this rollout.

Jordan Wilson [00:32:09]:
OpenAI should have waited, and had at least a concrete timeline. They should have said, hey, October 6. Right? This is dev day. We're announcing it. You know, November 1, You know, you're gonna be able to submit your apps. The, you know, App Store is gonna launch November, I don't know, nineteenth, my birthday. Right. So have a plan.

Jordan Wilson [00:32:32]:
Right? Here's here's how monetization is gonna work. You know, we're gonna make money on, you know, fees and paid apps and these things. And, you know, developers are gonna get, you know, 30% of the right. You don't get a second chance to roll this thing out. So you already messed up once. So open AI, if you want this to work, don't mess this up again. You need to make so many people insanely rich, very quick, instant overnight millionaires. Because what that does is it creates this cyclical PR buzz, right? Cause now all of a sudden you're gonna start seeing these things on the news.

Jordan Wilson [00:33:07]:
You're gonna start seeing, right? These stories pick up everywhere, and then that brings even more and more users. So you're welcome. OpenAI. Do that, and this won't fail because let's, let's face it. Plugins obviously failed. GPTs for what they currently can do, I think have largely failed, cause they haven't given them the attention, in promotion they deserve. So OpenAI third time can be the charm with the app store. This can be your app store moment if you do it right.

Jordan Wilson [00:33:39]:
So far, you haven't done it, but it's not too late. There's my hot take y'all. I hope this one was helpful. So, if you want, make sure you tune in tomorrow. We're gonna be doing a more practical hands on, walkthrough. So on, Wednesdays, we do AI at work on Wednesdays, and we're gonna be showing you, I think, three of the most practical use cases so far. I'm gonna be walking through those with you live. So it is a visual episode.

Jordan Wilson [00:34:08]:
So if you normally listen on Spotify, Apple Podcasts, thanks for the support. Appreciate that. But in the show notes, we always leave a link back to our website website where you can go watch the video version. So make sure you tune in tomorrow for that one. Go to youreverydayai.com. Sign up for the free daily newsletter. Thank you for tuning in today. Hope to see you back tomorrow for that one and everyday for more everyday AI.

Jordan Wilson [00:34:27]:
Thanks, y'all.

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